face anti-spoofing based on color texture analysis

Research on face spoofing detection has mainly been focused on analyzing the luminance of the face images, hence discarding the chrominance information which can be useful for discriminating fake faces from genuine ones. In this work, we propose a new face anti-spoofing method based on color texture analysis... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Face Anti-Spoofing MSU-MFSD Color LBP Equal Error Rate 10.8% # 2
Face Anti-Spoofing Replay-Attack YCbCr+HSV-LBP EER 0.40 # 2
HTER 2.90 # 2

Methods used in the Paper


METHOD TYPE
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